{"id":3221699,"url":"https://alion.io/job/tvh-data-engineering-intern-2","title":"Data Engineering Intern-2","company":{"id":2081800,"name":"TVH","domain":"tvh.com","url":"https://alion.io/company/tvh-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":22,"ghost_share":0,"stale_share":0.909,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Git","optional":true},{"name":"Postman","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-31T18:20:48Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"TVH is seeking a Data Engineer Intern to join our global team. The team specializes in building and maintaining data pipelines, data Integration and Data Platform consolidating and provisioning data from various sources across our different markets and industries, access management and creation of unified schemas and modular architecture.\nAs a Data Engineer Intern, you will work alongside experienced engineers to learn and contribute to data modelling , data ingestion and data platform projects. You will support designing and implementing scalable solutions that fit the needs of our stakeholders and tools. This data is key for our internal teams to have efficient and effective support towards our customers and also to\nYour role and responsibilities\nTranslating requirements into technical implementation: Assist senior team members in gathering requirements and identifying data points from structured and unstructured sources to help design fit-for-use data products.\nData Transformation & Delivery Support: Support the end-to-end data delivery process for data extraction and transformation under mentor guidance.\nData Pipeline Engineering: Learn and assist in building data integration and data transformation pipelines using technologies like GCP, BigQuery, and Kafka, Boomi under the supervision of senior engineers.\nData Platform: Learn and assist in building Data Platform and AI Platforms in Cloud environments\nData Integration: Learn the fundamentals of REST APIs, HTTP methods, JSON and XML data formats, authentication, and API-based communication. Assist in developing and testing integrations that enable reliable data exchange between applications and services.\nEnergised team player: You will be joining a globally-spread team that envies team spirit, co-creation and collaboration.\nHow to succeed/Your profile:\nMust have\nCurrently pursuing degree in Computer Science, Data Engineering, or a related field\n Foundational Technical Skills:Solid foundation in Python and SQL-\nBasic understanding of relational databases and data modeling concept \nBasic knowledge of Data ingestion \n\nBasic knowledge on Cloud and Data Ingestion and Data Transformation\nBasic understanding of application integration concepts and data exchange between systems.\nFoundational knowledge of APIs, particularly REST APIs, and data formats such as JSON and XML.\nBasic understanding of data engineering concepts, data transformation, and pipelines.\nStrong analytical mind and you get energized by resolving complex data problems\nA good eye for detail and a commitment to deliver high data quality and accuracy\nFluent communication (speaking and writing) in English..\nNice to have\nExposure to Cloud Platforms , Git , Data Ingestion , Transformation \nFamiliarity with Git or version control systems\nKnowledge about DevOps methodologies\nBasic knowledge of API testing tools such as Postman.\nExposure to integration patterns, API gateways, authentication mechanisms, and application connectivity.\nAffinity with equipment parts and service industry \nFamiliar with project development methodologies such as Scrum (Agile).\nEducational Background & Qualifications\nRequired Education:\nCurrently enrolled in or recent graduate of a Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Data Science, Software Engineering, or a related technical field\nSpecialized Coursework: Strong academic foundation in Data Engineering, Distributed Systems, Database Management Systems (DBMS), Algorithm Design, and Real-time 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